A Fast Subsampling Method for Nonlinear Dynamic Models
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- Hong, H. & Scaillet, O., 2006. "A fast subsampling method for nonlinear dynamic models," Journal of Econometrics, Elsevier, vol. 133(2), pages 557-578, August.
- Hong, H. & Scaillet, O. & Tamer, E., 2001. "A fast Subsampling Method for Nonlinear Dynamic Models," Papers 2001.09, Ecole des Hautes Etudes Commerciales, Universite de Geneve-.
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- Paulo Parente & Richard J. Smith, 2019. "Quasi-maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," CeMMAP working papers CWP60/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers CWP13/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Allen, Jason & Gregory, Allan W. & Shimotsu, Katsumi, 2011.
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- Jason Allen & Allan Gregory & Katsumi Shimotsu, 2008. "Empirical Likelihood Block Bootstrapping," Working Paper 1156, Economics Department, Queen's University.
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- Allen, Jason & Gregory, Allan W. & Shimotsu, Katsumi & 下津, 克己, 2010. "Empirical Likelihood Block Bootstrapping," Discussion Papers 2010-01, Graduate School of Economics, Hitotsubashi University.
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- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2015. "Program evaluation with high-dimensional data," CeMMAP working papers 55/15, Institute for Fiscal Studies.
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- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2015. "Program evaluation with high-dimensional data," CeMMAP working papers CWP55/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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"A higher-order correct fast moving-average bootstrap for dependent data,"
Journal of Econometrics, Elsevier, vol. 235(1), pages 65-81.
- Davide La Vecchia & Alban Moor & Olivier Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Papers 2001.04867, arXiv.org, revised Jan 2022.
- La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2020. "A higher-order correct fast moving-average bootstrap for dependent data," Working Papers unige:129395, University of Geneva, Geneva School of Economics and Management.
- Davide La Vecchia & Alban Moor & O. Scaillet, 2020. "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Swiss Finance Institute Research Paper Series 20-01, Swiss Finance Institute.
- Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," THEMA Working Papers 2024-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2017.
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- Lorenzo CAMPONOVO & Olivier SCAILLET & Fabio TROJANI, 2016. "Comments on: Nonparametric Tail Risk, Stock Returns and the Macroeconomy," Swiss Finance Institute Research Paper Series 16-41, Swiss Finance Institute.
- Scaillet, Olivier & Trojani, Fabio & Camponovo, Lorenzo, 2016. "Comments on : Nonparametric Tail Risk, Stock Returns and the Macroeconomy," Working Papers unige:84999, University of Geneva, Geneva School of Economics and Management.
- Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
- Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).
- Lorenzo Camponovo & O. Scaillet & Fabio Trojani, 2013.
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- Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2016. "Predictability Hidden by Anomalous Observations," Papers 1612.05072, arXiv.org.
- Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2018. "Predictability Hidden by Anomalous Observations," School of Economics Discussion Papers 0418, School of Economics, University of Surrey.
- Camponovo, Lorenzo & Scaillet, Olivier & Trojani, Fabio, 2012.
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- Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2006. "Robust Subsampling," Swiss Finance Institute Research Paper Series 06-33, Swiss Finance Institute.
- Tao Zou & Xian Li & Xuan Liang & Hansheng Wang, 2021. "On the Subbagging Estimation for Massive Data," Papers 2103.00631, arXiv.org.
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More about this item
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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